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t5-small-base-custom – AI Model by hztang | AlphaNeural AI
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hztang
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t5-small-base-custom
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-large-base-custom
This model is a fine-tuned version of
t5-small
on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
238
1.0463
25.3323
19.1916
23.8957
24.792
19.0
Framework versions
Transformers 4.30.2
Pytorch 1.12.1
Datasets 2.13.1
Tokenizers 0.11.0
